{"id":4446,"date":"2025-08-12T14:58:59","date_gmt":"2025-08-12T17:58:59","guid":{"rendered":"https:\/\/anyssa.com.br\/portfolio\/data-based-pricing-forecasting-tool\/"},"modified":"2025-08-17T18:26:28","modified_gmt":"2025-08-17T21:26:28","slug":"data-based-pricing-forecasting-tool","status":"publish","type":"portfolio","link":"https:\/\/anyssa.com.br\/en\/portfolio\/data-based-pricing-forecasting-tool\/","title":{"rendered":"Data-based pricing forecasting tool"},"content":{"rendered":"\n
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Context and Goal<\/strong><\/h2>\n\n\n\n

A US-based global leader in sports apparel e-commerce<\/strong>, was facing a critical challenge: the price update operation was partially manual, fragmented across multiple tools, and could take weeks to complete. The goal was to build a centralized system capable of suggesting large-scale pricing adjustments across the catalog in an automated, accurate way, driven by predictive data on market fluctuations. <\/p>\n\n\n\n

Solution and Impact<\/strong><\/h2>\n\n\n\n

I led the entire end-to-end UX\/UI process \u2014 from discovery, flows, wireframes, prototypes, design system to hand-off \u2014 scaling the product from an MVP (9,000 products) to global adoption (3+ Million products). The price update process was reduced from weeks to daily executions, with less effort and greater accuracy. <\/p>\n\n\n\n

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My role<\/h2>\n\n\n\n